Neuro-Fuzzy Network for Adaptive Channel Equalization

This paper presents the equalization of channel distortion by using neuro-fuzzy network. The structure and learning algorithm of neuro-fuzzy network have been described. Using learning algorithm of neuro-fuzzy network an adaptive equalizer have been developed. The developed equalizer recovers transmitted signal efficiently. The use of neuro-fuzzy equalizer in digital signal transmission allows to decrease training time of parameters and the complexity of network. The result obtained from the simulation is compared with the simulation result of neural equalizer, and it is shown that neuro-fuzzy equalizer has better performance than other one.